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Bespoke Neural Network Architectures for Rapid Multivariate Time Series Classification and Representation
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Exploring Neural Network Structure through Iterative Neural Networks: Connections to Dynamical Systems
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A Detailed Accounting of Error in Neural Networks: Applications to Electromagnetics
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Ensemble CNNs in Transform Domains for Small Data Image Super-resolution
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Robust Generative Models for Deep Learning and Applications
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Multi-modal Deep Learning
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Dimension Estimation and Application in Finance
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Cycles Improve Conditional Generators
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Patterns Detection on Multivariate High-Frequency Time Series
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Robust State Estimation and Deep Learning for Time Series Analysis
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